• Distinguish between Predictive and Generative AI
• Advanced Prompt Engineering
• Selection of Productivity Tools
• Sector-Specific Integration
• Responsible and Safe Adoption

Module 1

Introduction to practical Al tools

Introduction to AI, introduction to prompt engineering, practical tools and ethics.

Module 2

Prompt engineering techniques

Prompt architecture, reasoning and logic techniques, structure, control, anchoring and chaining.

Module 3

Integration of pre-trained models and sector-specific applications

AI integration strategies, applications and sector-specific scenarios.

Module 4

Adoption of AI solutions in business environments

Assessment, strategy, the human factor (training and roles), governance, security and action plan.

Marc Bara

Marc Bara is a professor in the Computer Science, Multimedia, and Telecommunications Studies at the UOC and leads the ICSO research group, where he works on optimization and AI agents that support decision-making. He has led projects and trained professionals in project management and the use of artificial intelligence in organizations. He holds a PhD in Telecommunications Engineering from UPC, with a thesis on algorithms for automatic data and image processing.

Self-directed learning using audiovisual and textual materials focused on real-life professional situations. This is supported by a tutor who will answer questions and provide constructive feedback.

We combine content with synchronous sessions. Modules 2 and 3 will include an in-person or online session to work through practical concepts together.

• 4 practical assignments: One per module, designed to directly apply the knowledge acquired.
• 4 quizzes: Multiple-choice tests to assess understanding of key concepts.
• Final project: The Module 4 assignment involves creating a personalized AI user guide tailored to your day-to-day role.

Certificated UOC